Methods and systems of a multistage object detection and tracking checkout system
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United States of America
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Jun 11, 2024
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app pub date -
Jul 12, 2021
filing date -
Jul 12, 2021
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Abstract
A system for multistage object detection and tracking for realizing a cashierless checkout includes a mobile device. The mobile device includes a set of on-board sensors together installed to the shopping container. The on-board sensors could include multiple digital cameras viewing interior of the shopping container from different angles and positions. The on-board sensors detect and provide user activity data with respect to placement or removal of the items into or from the shopping container. The digital camera obtains a set of digital image frames associated with the unique signatures associated with various shopping items entering and leaving the interior region of the shopping container and communicates them to a mobile device comprising an on-device machine learning (ML) detection and tracking engine; and relay them to subsequent stages for improved accuracy and confidence to arrive at a go/no-go decision.
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